Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. - Jiahua Dong 001; Yang Cong; Gan Sun; Dongdong Hou (ICCV, 2019)

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. - Jiahua Dong 001; Yang Cong; Gan Sun; Bineng Zhong; Xiaowei Xu 001 (CVPR, 2020)

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation. - Jiahua Dong 001; Yang Cong; Gan Sun; Yuyang Liu; Xiaowei Xu 001 (ECCV (8), 2020)

Data Poisoning Attacks on Federated Machine Learning. - Gan Sun; Yang Cong; Jiahua Dong 001; Qiang Wang 015; Ji Liu 002 (CoRR, 2020)

Evolving Metric Learning for Incremental and Decremental Features. - Jiahua Dong 001; Yang Cong; Gan Sun; Tao Zhang 084; Xiaowei Xu 001 (CoRR, 2020)

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. - Jiahua Dong 001; Yang Cong; Gan Sun; Bingtao Ma; Lichen Wang (AAAI, 2021)

Generative Partial Visual-Tactile Fused Object Clustering. - Tao Zhang 084; Yang Cong; Gan Sun; Jiahua Dong 001; Yuyang Liu; Zhengming Ding (AAAI, 2021)

Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. - Ronghan Chen; Yang Cong; Jiahua Dong 001 (ICCV, 2021)

Confident Anchor-Induced Multi-Source Free Domain Adaptation. - Jiahua Dong 001; Zhen Fang 001; Anjin Liu; Gan Sun; Tongliang Liu (NeurIPS, 2021)

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. - Jiahua Dong 001; Yang Cong; Gan Sun; Yunsheng Yang; Xiaowei Xu 001; Zhengming Ding (IEEE Trans. Circuits Syst. Video Technol., 2021)

L3DOC: Lifelong 3D Object Classification. - Yuyang Liu; Yang Cong; Gan Sun; Tao Zhang 084; Jiahua Dong 001; Hongsen Liu (IEEE Trans. Image Process., 2021)

Federated Class-Incremental Learning. - Jiahua Dong 001; Lixu Wang; Zhen Fang 001; Gan Sun; Shichao Xu; Xiao Wang 012; Qi Zhu 002 (CVPR, 2022)

Is Out-of-Distribution Detection Learnable? - Zhen Fang 001; Yixuan Li 001; Jie Lu 001; Jiahua Dong 001; Bo Han 003; Feng Liu 003 (NeurIPS, 2022)

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. - Jie Zhang 081; Chen Chen 043; Jiahua Dong 001; Ruoxi Jia 001; Lingjuan Lyu (CoRR, 2022)

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud. - Yunge Cui; Yinlong Zhang; Jiahua Dong 001; Haibo Sun; Feng Zhu 014 (CoRR, 2022)

Data Poisoning Attacks on Federated Machine Learning. - Gan Sun; Yang Cong; Jiahua Dong 001; Qiang Wang 015; Lingjuan Lyu; Ji Liu 002 (IEEE Internet Things J., 2022)

What and How: Generalized Lifelong Spectral Clustering via Dual Memory. - Gan Sun; Yang Cong; Jiahua Dong 001; Yuyang Liu; Zhengming Ding; Haibin Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Lifelong robotic visual-tactile perception learning. - Jiahua Dong 001; Yang Cong; Gan Sun; Tao Zhang 084 (Pattern Recognit., 2022)

Fast Multi-View Outlier Detection via Deep Encoder. - Dongdong Hou; Yang Cong; Gan Sun; Jiahua Dong 001; Jun Li 027; Kai Li 012 (IEEE Trans. Big Data, 2022)

Evolving Metric Learning for Incremental and Decremental Features. - Jiahua Dong 001; Yang Cong; Gan Sun; Tao Zhang 084; Xu Tang; Xiaowei Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Continuous Multi-View Human Action Recognition. - Qiang Wang 015; Gan Sun; Jiahua Dong 001; Qianqian Wang 001; Zhengming Ding (IEEE Trans. Circuits Syst. Video Technol., 2022)

Visual-Tactile Fused Graph Learning for Object Clustering. - Tao Zhang 084; Yang Cong; Gan Sun; Jiahua Dong 001 (IEEE Trans. Cybern., 2022)

PFDN: Pyramid Feature Decoupling Network for Single Image Deraining. - Qiang Wang 015; Gan Sun; Jiahua Dong 001; Yulun Zhang 001 (IEEE Trans. Image Process., 2022)

Partial Visual-Tactile Fused Learning for Robotic Object Recognition. - Tao Zhang 084; Yang Cong; Jiahua Dong 001; Dongdong Hou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. - Duzhen Zhang; Hongliu Li; Wei Cong; Rongtao Xu; Jiahua Dong 001; Xiuyi Chen (CIKM, 2023)

Federated Incremental Semantic Segmentation. - Jiahua Dong 001; Duzhen Zhang; Yang Cong; Wei Cong; Henghui Ding; Dengxin Dai (CVPR, 2023)

Continual Named Entity Recognition without Catastrophic Forgetting. - Duzhen Zhang; Wei Cong; Jiahua Dong 001; Yahan Yu; Xiuyi Chen; Yonggang Zhang 003; Zhen Fang 001 (EMNLP, 2023)

Heterogeneous Forgetting Compensation for Class-Incremental Learning. - Jiahua Dong 001; Wenqi Liang; Yang Cong; Gan Sun (ICCV, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

I3DOD: Towards Incremental 3D Object Detection via Prompting. - Wenqi Liang; Gan Sun; Chenxi Liu; Jiahua Dong 001; Kangru Wang (IROS, 2023)

No One Left Behind: Real-World Federated Class-Incremental Learning. - Jiahua Dong 001; Yang Cong; Gan Sun; Yulun Zhang 001; Bernt Schiele; Dengxin Dai (CoRR, 2023)

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. - Jiahua Dong 001; Yang Cong; Gan Sun; Lixu Wang; Lingjuan Lyu; Jun Li 027; Ender Konukoglu (CoRR, 2023)

Federated Continual Novel Class Learning. - Lixu Wang; Chenxi Liu; Junfeng Guo; Jiahua Dong 001; Xiao Wang 012; Heng Huang; Qi Zhu 002 (CoRR, 2023)

Uni3DA: Universal 3D Domain Adaptation for Object Recognition. - Yu Ren; Yang Cong; Jiahua Dong 001; Gan Sun (IEEE Trans. Circuits Syst. Video Technol., 2023)

BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM. - Yunge Cui; Xieyuanli Chen; Yinlong Zhang; Jiahua Dong 001; Qingxiao Wu; Feng Zhu 014 (IEEE Robotics Autom. Lett., 2023)

InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. - Jiahua Dong 001; Yang Cong; Gan Sun; Lixu Wang; Lingjuan Lyu; Jun Li 027; Ender Konukoglu (IEEE Trans. Neural Networks Learn. Syst., 2023)

MM-LLMs: Recent Advances in MultiModal Large Language Models. - Duzhen Zhang; Yahan Yu; Jiahua Dong 001; Chenxing Li; Dan Su 002; Chenhui Chu; Dong Yu 001 (ACL (Findings), 2024)

Xformer: Hybrid X-Shaped Transformer for Image Denoising. - Jiale Zhang; Yulun Zhang 001; Jinjin Gu; Jiahua Dong 001; Linghe Kong; Xiaokang Yang 001 (ICLR, 2024)

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? - Jiahua Dong 001; Wenqi Liang; Hongliu Li; Duzhen Zhang; Meng Cao 002; Henghui Ding; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2024)

Federated Learning with New Knowledge: Fundamentals, Advances, and Futures. - Lixu Wang; Yang Zhao 017; Jiahua Dong 001; Ating Yin; Qinbin Li; Xiao Wang 012; Dusit Niyato; Qi Zhu 002 (CoRR, 2024)

Never-Ending Embodied Robot Learning. - Wenqi Liang; Gan Sun; Qian He; Yu Ren; Jiahua Dong 001; Yang Cong (CoRR, 2024)

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging. - Jiahua Dong 001; Hui Yin; Hongliu Li; Wenbo Li 001; Yulun Zhang 001; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. - Qian Feng; Hanbin Zhao; Chao Zhang 001; Jiahua Dong 001; Henghui Ding; Yu-Gang Jiang 001; Hui Qian 001 (CoRR, 2024)

Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models. - Meng Cao 002; Yuyang Liu; Yingfei Liu; Tiancai Wang; Jiahua Dong 001; Henghui Ding; Xiangyu Zhang 005; Ian Reid 003; Xiaodan Liang (CoRR, 2024)

Federated Incremental Named Entity Recognition. - Duzhen Zhang; Yahan Yu; Chenxing Li; Jiahua Dong 001; Dong Yu 001 (CoRR, 2024)

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud. - Yunge Cui; Yinlong Zhang; Jiahua Dong 001; Haibo Sun; Xieyuanli Chen; Feng Zhu 014 (IEEE Robotics Autom. Lett., 2024)

Gradient-Semantic Compensation for Incremental Semantic Segmentation. - Wei Cong; Yang Cong; Jiahua Dong 001; Gan Sun; Henghui Ding (IEEE Trans. Multim., 2024)

Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning. - Bingtao Ma; Yang Cong; Jiahua Dong 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. - Jiahua Dong 001; Yang Cong; Gan Sun; Zhen Fang 001; Zhengming Ding (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

No One Left Behind: Real-World Federated Class-Incremental Learning. - Jiahua Dong 001; Hongliu Li; Yang Cong; Gan Sun; Yulun Zhang 001; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Self-Paced Weight Consolidation for Continual Learning. - Wei Cong; Yang Cong; Gan Sun; Yuyang Liu; Jiahua Dong 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Open-Ended Online Learning for Autonomous Visual Perception. - Haibin Yu; Yang Cong; Gan Sun; Dongdong Hou; Yuyang Liu; Jiahua Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Create Your World: Lifelong Text-to-Image Diffusion. - Gan Sun; Wenqi Liang; Jiahua Dong 001; Jun Li 027; Zhengming Ding; Yang Cong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA. - Duzhen Zhang; Yong Ren; Zhong-Zhi Li; Yahan Yu; Jiahua Dong 001; Chenxing Li; Zhilong Ji; Jinfeng Bai (ACL (1), 2025)

MuseumMaker: Continual Style Customization Without Catastrophic Forgetting. - Chenxi Liu; Gan Sun; Wenqi Liang; Jiahua Dong 001; Can Qin; Yang Cong (IEEE Trans. Image Process., 2025)

CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary. - Jiahang Tu; Qian Feng; Chufan Chen; Jiahua Dong 001; Hanbin Zhao; Chao Zhang 001; Hui Qian 001 (CoRR, 2025)

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. - Meng Cao 002; Pengfei Hu; Yingyao Wang; Jihao Gu; Haoran Tang; Haoze Zhao; Jiahua Dong 001; Wangbo Yu; Ge Zhang 009; Ian Reid 003; Xiaodan Liang (CoRR, 2025)

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. - Hao Fu; Hanbin Zhao; Jiahua Dong 001; Chao Zhang 001; Hui Qian 001 (CoRR, 2025)

Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition. - Duzhen Zhang; Chenxing Li; Jiahua Dong 001; Qi Liu 049; Dong Yu 001 (CoRR, 2025)

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation. - Jiahua Dong 001; Hui Yin; Wenqi Liang; Hanbin Zhao; Henghui Ding; Nicu Sebe; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph. - Duzhen Zhang; Zixiao Wang; Zhong-Zhi Li; Yahan Yu; Shuncheng Jia; Jiahua Dong 001; Haotian Xu; Xing Wu; Yingying Zhang; Tielin Zhang; Jie Yang; Xiuying Chen; et al. (CoRR, 2025)